Power BI and Data engineer
Novalink Solutions LLC · Raleigh, North Carolina, United States
IT Services and IT Consulting · 51-200 employees
About the role
The Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines and analytics solutions using Azure services. They are also responsible for managing data ingestion from Salesforce and optimizing data models to support Power BI reporting.
What they look for
Requirements
Candidates must have at least 5 years of experience in Power BI dashboard development and SQL mastery. Proficiency in Python or Scala, Azure cloud services, and data modeling concepts is also required.
Full description
Requirements
requires the assistance of a contract resource to serve as a Data Engineer responsible for the design, development, and optimization of data pipelines and analytics solutions/dashboards on cloud-based data platforms. This work will leverage Azure Synapse Analytics, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs.
Key Responsibilities:
- Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services.
- Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning.
- Develop and maintain data models, data transformations,and semantic layers to support Power BI reporting and analytics.
- Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency.
- Troubleshoot pipeline failures, Salesforce API issues,and Power BI dataset/dataflow refresh problems.
Benefits
Skill
Required / Desired
Amount
of Experience
Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI Required 5 Years
Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models. Required 5 Years
Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.). Required 3 Years
Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows Required 3 Years
SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization. Required 5 Years
Programming Languages: Strong proficiency in Python or Scala for data processing. Required 3 Years
Hands-on experience in developing efficient PL/SQL procedures Required 5 Years
Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) Required 2 Years
Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools). Required 2 Years
Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema) Required 2 Years
